Shuling Wang

482 citations
19 papers · 337 · h-index 8

Impact in

Papers in

    • Inflammatory Bowel Disease 2
    • Estrogen and related hormone effects 2
    • Genomic variations and chromosomal abnormalities 2

Shuling Wang

18 papers receiving 333 citations

Peers

Shuling Wang
Comparison fields: 5 of 71
  • Aging 12
  • Endocrine and Autonomic Systems 34
  • Nuclear Energy and Engineering 2
  • Obstetrics and Gynecology 27
  • Reproductive Medicine 26
Replace Federica Monaco with:
Federica Monaco Italy
Tobias Konz Spain
Ja‐Yun Lim South Korea
Yingpu Sun China
Yan Yue China
Michele Curcio Italy
Betty Lawrence United States
Zhiyong Lu China
Kai Fu United States
Shuling Wang relative to Federica Monaco Italy Federica Monaco's profile →
Citations per field
00.5×6.5×
Federica Monaco · 1×
Citations per year

Countries citing papers authored by Shuling Wang

Since Specialization
Citations

This map shows the geographic impact of Shuling Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shuling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuling Wang more than expected).

Fields of papers citing papers by Shuling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuling Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shuling Wang. The network helps show where Shuling Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Shuling Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shuling Wang Line = papers co-authored together Shuling Wang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201874
2 201466
3 201765
4 202031
5 201226
6 202423
7 201920
8 202210
9 20175
10 20134
11 20183
12 20233
13 20222
14 20111
15 20161
16 20181
17 20241
18 20251
19 20240

About Shuling Wang

Shuling Wang is a scholar working on Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Cancer Research and Oncology, having authored 19 papers that have together received 337 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Prenatal Screening and Diagnostics (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer Genomics and Diagnostics (2 papers), Inflammatory Bowel Disease (2 papers), Reproductive Biology and Fertility (2 papers), Estrogen and related hormone effects (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Aging (12 citations), Endocrine and Autonomic Systems (34 citations), Nuclear Energy and Engineering (2 citations), Obstetrics and Gynecology (27 citations) and Reproductive Medicine (26 citations). Shuling Wang has collaborated with scholars based in China and Australia. Frequent co-authors include Bingqian Zhu, Lina Liu, Yuxi Zhang, Xin Hua, Yuanqing Yao, Hui Wang, Na Duan, Minyue Ma, Yifan Liu and Yifan Guo. Their work appears in journals such as Journal of Assisted Reproduction and Genetics, Journal of Cellular Biochemistry, PeerJ, Cancer Chemotherapy and Pharmacology and European Journal of Pharmacology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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